Question 1

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is the open standard that connects AI tools and agents to your systems and data. It's how AI gets the access it needs to do real work.

Question 2

Why do AI tools need MCP servers?

Accepted Answer

AI is only as useful as the systems it can reach. MCP servers give AI tools governed access to your apps and data, which is what turns a chatbot into something that does real work.

Question 3

How does C1 govern access to MCP servers?

Accepted Answer

C1 enforces three layers of governance: authenticating every agent and human, authorizing requests against unified human-equivalent policies, and auditing every call with complete contextual data.

Question 4

Can I use MCP servers running in my own environment?

Accepted Answer

MCP servers in your own environment connect to C1 through a secure outbound tunnel, so your data never leaves your network. Every call is still authenticated, policy-checked, and audited.

Question 5

Which AI tools can connect through C1's MCP servers?

Accepted Answer

Claude, ChatGPT, Cursor, and custom enterprise agents can connect through C1 to securely reach systems like GitHub, Slack, Salesforce, Notion, and Snowflake.

Question 6

How does C1 keep AI agents within policy?

Accepted Answer

C1 evaluates every agent call dynamically; if a human user lacks permission to view a specific Salesforce field, their associated agent is explicitly denied access before the call executes.

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